This AI Paper from China Proposes a Lightweight Machine Learning Method that Enhances Scalable Structural Inference and Dynamic Prediction Accuracy

Machine Learning (ML) has become an indispensable tool in recent years for solving a wide range of scientific and practical issues. Model-free machine learning methods have drawn interest for their ability to analyze and forecast complicated dynamics seen in time series data, but these approaches face difficulties when applied to high-dimensional systems with heterogeneous connections […]

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